The Power of Modern, Scalable Content Management System

Featured May 17, 2022 @ 10:00 am - 11:00 am PDT

Begins at 12pm CDT In today’s digital-first world, customer expectations are higher than ever and delivering seamless, engaging digital experiences quickly is imperative to success. Fast-growing City National Bank understands the importance of leveraging the right CMS to do so. Join us to hear from Kavin Mehta, Vice President, AEM Portfolio Manager, on how City National Bank uses an agile, industry-leading CMS solution to establish a digital foundation that supports its growth, achieve faster time-to-market, and drive compelling experiences — positively impacting the customer experience and the bottom line. In this webinar, discover how City National Bank unlocks the potential of Adobe Experience Manager Sites to: Accelerate content velocity with powerful user-friendly tools, no IT support necessary Easily and efficiently create, manage, and deliver exceptional digital experiences that scale Achieve business growth, improve customer engagement, and increase ROI... read more →

JM Webinar for Marketing Professionals

Featured May 17, 2022 @ 11:00 am - 12:00 pm PDT

Listen to leading professors and gain actionable insights based on peer-reviewed scientific studies published in the Journal of Marketing. Date: May 17, 2022 Time: 1:00 PM – 2:00 PM (Eastern) Click Here to Register for the Webinar “How to Conduct Marketing Research with Quasi-Experiments“ Quasi-experimental methods have been widely applied in marketing to explain changes in consumer behavior, firm behavior, and market-level outcomes. The purpose of these methods is to determine the presence of a causal relationship in the absence of experimental variation. A new article in the Journal of Marketing offers guidance on how to successfully conduct research in marketing with quasi-experiments and this webinar will offer insights on key topics important to their use. This webinar will examine the use and usefulness of quasi-experimental methods for marketing by identifying the marketing settings and data where quasi-experimental methods are useful. It will then outline how to structure an empirical strategy that allows researchers or analysts to identify a causal relationship between a marketing action and an outcome using methods such as difference-in-differences, regression discontinuity, instrumental variables, propensity score matching, synthetic control, and selection bias correction. The importance of understanding and communicating the assumptions underlying the assertion of causality and establishing the generalizability of the findings […]... read more →